New Energy

  • Combining modeling and solving with big data processing, we developed a production scheduling plan covering four production areas in Dongguan and Ningde for this enterprise: balancing annual total market demand, production capacity, material supply and other production resources, providing daily plan guidance, logistics demand planning, and capacity planning to achieve lean planning and management of people, machines, methods, materials, and environment.
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  • Based on demand power distribution, optimizing cell feeding level combinations, reducing the supply-demand gap in conversion rate levels, helping this enterprise achieve refined production scheduling, visualizing production tasks and progress, and understanding production status in real-time.
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  • To address the current situation of cross-departmental information silos, unclear demand, and pressure from capacity expansion plans when producing battery cells and modules, UHAlean helped this enterprise build integrated supply chain planning and scheduling capabilities, gradually establishing sales-production coordination, demand planning, master planning MPS, and material requirements planning MRP capabilities.
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High-Tech

  • UHAlean helped this enterprise establish standardized sales-production coordination processes and mechanisms, achieving consistent sales-production planning capabilities and building a sales-production coordination performance management system. Undertaking demand forecasting for sales-production coordination, providing guidance for long-cycle material reserves, establishing collaborative mechanisms with suppliers, improving on-time delivery rate by 1%-3%, and accelerating finished goods turnover by 14-17 days compared to 2022.
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  • UHAlean assisted the enterprise in establishing an optimized main model, based on multiple constraint conditions, and ultimately provided the most immediate and accurate material requirement plan, filling the gaps and deficiencies in traditional MRP material requirement calculation. At the same time, while ensuring the timeliness of material delivery and meeting the requirement of complete production, reduce inventory backlog caused by material switching and excessive procurement, and reduce inventory by 30%.
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  • Integrating and organizing data for various factories, establishing a unified intelligent production decision-making management platform, building a collaborative production system linking final assembly and sub-assembly plant scheduling plans, formulating medium-long term master plans and short-term daily plans, achieving lean control, minute-level output of medium-long term plans, and multi-objective optimization results.
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FMCG

  • UHAlean helped this enterprise with overall planning through an efficient collaborative supply chain system, achieving factory, regional, and group centralized business integration requirements. Considering various constraints comprehensively, conducting multi-scenario simulation and optimization in production. Achieving minimization of costs, energy consumption emissions, and switching time, maximizing delivery rate and unit utilization, and balanced line usage.
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  • Establishing full-element scheduling constraints, forming a complete scheduling process model, supporting 4 objectives in just 5 minutes, improving overall computing efficiency by 50 times. After implementing this solution developed by UHAlean, Unilever's total inventory turnover days decreased from 44 to 28 days, and supplier on-time delivery rate increased from 94.5% to 99.7%.
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  • UHAlean assists Vinda Paper Group in building a demand forecasting model, utilizing advanced predictive algorithms to unify rules and strategies, and forming data-driven demand forecasting. It conducts multi-strategy and multi-version simulations to achieve supply-demand matching under demand forecasting, provides abnormal alerts under production line data monitoring, and enhances decision accuracy based on KPIs and risk considerations.
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Equipment Manufacturing

  • UHAlean empowered ZMJ Group's planning system transformation, changing layered plans to group integrated plans, improving planning efficiency, increasing market response speed, enhancing resource utilization across the group, and shortening delivery times. Achieving online and centralized planning work, improving planning personnel efficiency and effectiveness.
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  • By shortening the delivery time and reducing defective inventory as indicators, and focusing on demand forecasting, order OTD visibility, and inventory control informatization, we aim to enhance our demand forecasting and inventory control capabilities, and improve collaboration across internal and external business processes. By establishing a production and sales collaboration mechanism and system, we aim to enhance our market competitiveness and better adapt to the ever-changing market environment.
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  • UHAlean assists Qianxun Location in establishing an integrated platform for unified data management and control, achieving end-to-end interconnection and real-time visibility across demand, production, outsourcing suppliers, procurement, inventory, and warehousing. This helps enterprises achieve overall optimization, as well as horizontal integration (from demand to supply) and vertical integration (from annual to weekly) of production plans.
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Automotive Parts

  • Using UHAlean's supply chain planning system to plan the future supply chain, for enterprise part combinations, logistics solutions, source bases, etc., there are 140,000 planning possibilities. The system can assist personnel in quickly finding the optimal solution. Based on UHAlean's new supply chain planning, SGM saved 38 million in overall cost NPV.
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  • Based on UHAlean's optimization algorithm engine, the intelligent planning and scheduling system developed helped Bosch Huayu achieve flexible decision-making and digital management of scheduling plans in a multi-objective, multi-constraint, dynamic environment, aiming to improve production efficiency and reduce production costs, laying the groundwork for Bosch Huayu to establish a flexible smart supply chain.
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  • Addressing the challenges this enterprise faced in its planning system - "difficult plan adjustments, low plan accuracy, frequent switching of large-tonnage tooling" - UHAlean helped jointly manage planning-related data, establish efficient and rapid production plans, making all plans executable at over 95%; making timely responses to unavoidable adjustments to minimize impact; and optimizing production sequence and changeover frequency while ensuring delivery times to avoid equipment idling and reduce intermediate product accumulation.
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    Electronic & Semiconductor

  • UHAlean helped Luxshare Precision integrate order data and process data by interfacing with existing ERP and MES systems, performing full-process calculations for all orders to obtain accurate delivery times. Computing efficiency improved 6 times, from 3 hours to 30 minutes. Through multi-process collaboration, overall production duration was shortened by 40%. Delivery review time decreased from 600 hours per month to 75 hours, greatly improving review efficiency.
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  • Through UHAlean's advanced scheduling system, planning response has been significantly improved. By analyzing the trend of capacity release and simulating the deliverable time of rolling demand, the accuracy rate of delivery response has been increased by 30%. By collecting suppliers' rescheduling plans and analyzing the completeness status of production, inventory backlog has been reduced by 10%, and risk warnings have been issued.
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  • This plan considers upstream and downstream work order collaboration to ensure timely production of all processes related to urgent finished product work orders and improve the on-time delivery rate of work orders by 5%. Taking into account factors such as manpower, production line capacity, tool quantity, and material supply, the plan is made more executable, resulting in an 11% increase in plan achievement rate. Promptly notify individuals of abnormal alerts, and through data disclosure of the impact of anomalies, facilitate quick planning adjustments for personnel, reducing overall abnormal adjustment time by 80%.
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Energy & Chemical

  • The construction of the oil and gas value chain optimization system will support PetroChina's natural gas production and operation plan optimization, achieving overall optimization of the natural gas value chain and improving China Petroleum's resource optimization allocation level and production and operation management capabilities.
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  • Based on the enterprise's historical sales data, UHAlean modeled to "predict" future demand, understands the demand process and results in advance, and makes more accurate demand planning management, resulting in a 10% increase in prediction accuracy. The demand forecasting and inventory optimization model optimizes inventory layout, accelerates turnover speed by 5%, shortens the production cycle of scheduled orders by 3%, improves timely satisfaction rate, and enhances user experience.
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  • Achieving the construction of Wanhua Chemical's intelligent scheduling system from 0 to 1, changing from passive to proactive. Coordinating management of warehouses, recipients, rates, carriers, and transportation methods. All intelligent scheduling route results are 100% implementable, with single order receipt to result return controlled within 5 minutes.
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Other Manufacturing

  • UHAlean helped Xinyi Glass build an efficient collaborative supply chain system for overall planning, including business architecture, planning system, and data and application architecture, to achieve end-to-end comprehensive collaboration and transparency throughout the entire process, enhance market competitiveness, reduce production costs, and improve the production efficiency of individual factories. The supply chain has become a new engine for the company's competitiveness.
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  • Achieving multi-process centralized planning with group unified control. Replacing manual scheduling with efficient algorithms, compressing hours of manual calculation time to minutes. Given the high similarity of materials in the cord process, global scheduling reduces mixing risks and supports real-time abnormal handling, enhancing production flexibility.
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  • UHAlean helped Mayinglong achieve "production-supply-sales" linkage and analysis, realizing production linkage of monthly, weekly, and daily plans, achieving linkage between production demand and procurement material preparation, displaying planning results in a visualized interface, and supporting quick manual adjustments to work plans.
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